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Updated: Aug 6, 2026

Assessment of Respiratory Function in Conscious Mice by Double-chamber Plethysmography
Published on: July 10, 2018
A dual-respiration chamber system with automated calibration
P F Schoffelen1, K R Westerterp, W H Saris
1Department of Human Biology, Maastricht University, 6200 MD Maastricht, The Netherlands. P.Schoffelen@HB.UNIMAAS.NL
This study presents automated respiration chambers for accurate gas analysis. The system ensures subject comfort and achieves high precision for oxygen consumption and carbon dioxide production measurements.
Area of Science:
- Physiology
- Biomedical Engineering
- Environmental Science
Background:
- Accurate measurement of metabolic gas exchange is crucial for physiological research.
- Existing respiration chambers often require manual calibration and lack automated drift correction.
- Optimizing chamber design and gas analysis is key to improving measurement accuracy and efficiency.
Purpose of the Study:
- To characterize the performance of fully automated respiration chambers.
- To assess the accuracy and repeatability of gas analysis within these chambers.
- To determine the optimal measurement interval for metabolic studies.
Main Methods:
- Development and implementation of fully automated calibration for two 14-m3 pull-type respiration chambers.
- Automated gas analysis incorporating corrections for analyzer drift and barometric pressure variations.
- Performance validation using alcohol combustion and long-term experiments (2-24 hours).
Main Results:
- Gas-analysis repeatability was within 0.002%.
- Accuracy for O2 consumption was 0.5 +/- 2.0% and for CO2 production was -0.3 +/- 1.6% during alcohol combustion.
- Smallest practical measurement interval was determined to be 15-25 minutes, standardized to 0.5 hours.
Conclusions:
- Fully automated respiration chambers provide accurate and repeatable gas exchange measurements.
- Factors such as volume, mixing, and gas-analysis accuracy are critical for determining measurement intervals.
- The developed system offers improved ease of use and precision for metabolic research.
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